LINPRO: linear inverse problem library for data contaminated by statistical noise

Abstract

The library LINPRO which provides solution to the linear inverse problem for data contaminated by a statistical noise is presented. The library makes use of two methods: Maximum Entropy Method and Singular Value Decomposition. As an example it has been applied to perform an analytic continuation of the imaginary time propagator obtained within the Quantum Monte Carlo method.

The associated computer program is available at: http://tja.if.pw.edu.pl/linpro/

References in corpus (4)

• Onset of a Pseudogap Regime in Ultracold Fermi Gases
• Analytical continuation of imaginary axis data for optical conductivity
• Analytical continuation of imaginary axis data using maximum entropy
• Quantum Monte Carlo study of dilute neutron matter at finite temperatures

Cited by in corpus (7)

• Lattice methods for strongly interacting many-body systems
• Cooper pairing above the critical temperature in a unitary Fermi gas
• Shear Viscosity of a Unitary Fermi Gas
• The temperature evolution of the shear viscosity in a unitary Fermi gas
• Thermal conductivity and impurity scattering in the accreting neutron star crust
• Perfect-fluid behavior of a dilute Fermi gas near unitary
• Calculation of expectation values of operators in the Complex Scaling method